What Entity Detection Does
Extract Named Entities
Identify people, organizations, locations, and other entities mentioned in your text.
Structured JSON Response
Get clean, structured JSON output ready for your application, database, or analysis pipeline.
Search, RAG & Analytics
Power search indexing, RAG/LLM pipelines, SEO analysis, and business intelligence workflows.
How It Works
Submit Text
Send your text to our API endpoint or paste it into our web UI. Minimum 200 characters recommended.
Detect Entities
Our AI model analyzes the text, identifying entities and their relationships with sentiment.
Receive JSON
Get structured JSON with entities, relations, confidence scores, and metadata instantly.
Code Examples
Integrate entity extraction into your application in minutes with our simple REST API.
curl -X POST https://api.entity-detector.com/v1/analyze \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"text": "Apple CEO Tim Cook announced new products at the Cupertino headquarters.",
"options": { "languageHint": "en" }
}'Response
{
"entities": {
"persons": ["Tim Cook"],
"organizations": ["Apple"],
"locations": ["Cupertino"]
},
"relations": [
{
"source": "Tim Cook",
"target": "Apple",
"type": "works_for",
"sentiment": "neutral",
"confidence": 0.95
},
{
"source": "Apple",
"target": "Cupertino",
"type": "located_in",
"sentiment": "neutral",
"confidence": 0.92
}
],
"meta": {
"model": "entity-detector-v1",
"language": "en",
"processingMs": 245,
"cached": false
}
}Supported Languages & Entity Types
Languages
- English (best support)
- Other languages (limited support)
Results may vary for non-English text. Test with your specific content.
Entity Types
- Persons (people, names)
- Organizations (companies, institutions)
- Locations (places, cities, countries)
- Objects (products, concepts)
Use Cases
Entity extraction powers a wide range of applications across industries.
SEO Content Analysis
SEO professionals struggle to understand the entity landscape of their content and competitors. Manual entity identifica...
Learn more →RAG Pipeline Enhancement
RAG pipelines often struggle with retrieval accuracy because vector similarity alone misses semantic connections. Withou...
Learn more →Search Indexing
Traditional keyword search misses semantic connections and fails to understand that "Tim Cook" and "Apple CEO" refer to ...
Learn more →Legal Document Analysis
Legal professionals spend hours manually reviewing documents to identify parties, dates, locations, and key terms. This ...
Learn more →Market Research
Market researchers manually read through hundreds of articles, reports, and filings to track competitors, key players, a...
Learn more →View all use cases →Frequently Asked Questions
What types of entities can Entity Detector extract?
Entity Detector extracts persons (people names), organizations (companies, institutions), and locations (cities, countries, places). Additional entity types may be identified based on context.
How accurate is the entity extraction?
Accuracy varies by text quality, language, and domain. On well-formed English text, expect 85-95% accuracy. Results may vary for specialized domains, informal text, or languages other than English.
What languages are supported?
Entity Detector works best with English text. Other languages may work with reduced accuracy. We recommend testing with your specific content to evaluate results.
Is there a free tier?
Yes! Sign up for a free account to get 100 API requests per day. No credit card required. Upgrade to a paid plan for higher volumes.
How do I integrate with my application?
Entity Detector provides a simple REST API. Send a POST request with your text and receive structured JSON with entities and relations. See our documentation for code examples.